Data Anonymizer
Auto-detect and redact sensitive information from JSON and text data
Input Data
Anonymized Output
Data Anonymizer
Auto-detect and redact sensitive information from JSON and text data
Features
- Auto-detect emails, phone numbers, IPs, credit cards, SSNs, names, and URLs
- Multiple replacement modes: asterisks, [REDACTED] tags, fake data, or partial hash
- Consistent replacement ensures the same input always maps to the same output
- Format preservation keeps the original character structure intact
- Detailed summary showing what was found and redacted by category
- 100% client-side processing — no data ever leaves your browser
How to use
- Paste your JSON, CSV, or text data into the input field.
- Choose a replacement mode: asterisks, [REDACTED] tags, fake data, or hash.
- Toggle options like format preservation or consistent replacement as needed.
- Review the anonymized output and the detection summary.
- Copy the anonymized result to your clipboard.
Tips & Best Practices
- Use 'Fake Data' mode to generate realistic-looking but fictional replacement values.
- Enable 'Consistent replacement' when the same entity appears multiple times and you need referential integrity.
- Review the detection summary to ensure all sensitive items were caught.
- The Hash mode is useful when you need to trace back values without exposing the originals.
- For credit card detection, the tool uses Luhn validation to reduce false positives.
FAQ
What types of sensitive data can this tool detect?
The tool auto-detects email addresses, phone numbers (international formats), IPv4 addresses, credit card numbers (with Luhn validation), US Social Security Numbers, common first/last name combinations, and URLs with query parameters.
Is my data safe? Does it get sent to any server?
Absolutely. All processing happens entirely in your browser using JavaScript. No data is ever transmitted to any server or third party. You can verify this by disconnecting from the internet and using the tool offline.
What does 'consistent replacement' mean?
When enabled, the same sensitive value will always be replaced with the same anonymized value throughout the document. For example, if 'john@example.com' appears three times, all three will be replaced with the same fake email, maintaining referential integrity.
What does 'preserve format' mean?
Preserve format replaces only alphanumeric characters with asterisks or hash characters, keeping delimiters like @, dots, dashes, and spaces intact. This maintains the visual structure of the original data.
Can I use this for GDPR compliance?
This tool can help anonymize personal data for sharing, testing, or logging purposes. However, for full GDPR compliance, consult with a legal professional as requirements may vary by jurisdiction and use case.